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Sparse cylindrical sensor network with beamforming and DoA estimation

机译:具有波束形成和DoA估计的稀疏圆柱传感器网络

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In this paper, different sensor network deployment schemes are studied based on the structures of co-prime cylindrical array, nested cylindrical array and sparse cylindrical array. According to the characteristic of cylindrical array, it can be seen as a linear array whose elements are the identical circular arrays, which motivates us to apply such structures for sensor network deployment. In our sensor networks with circular-array deployment, the co-prime linear array and nested linear array could be combined with circular arrays. Moreover, in order to achieve better performance in direction-of-arrival (DoA) estimation with as few elements as possible, the two-dimensional nested array is extended to the cylindrical array and through augmented matrix MUSIC approach, multiple sources in the range could be successfully detected based on such deployed sensor networks. Simulation results show that the new proposed sparse cylindrical arrays-based sensor networks can not only reduce the number of sensors, but also improve the resolution in comparison with an equal length uniform cylindrical array-based sensor networks.
机译:本文基于互质圆柱阵列,嵌套圆柱阵列和稀疏圆柱阵列的结构,研究了不同的传感器网络部署方案。根据圆柱阵列的特性,可以将其视为线性阵列,其元素是相同的圆形阵列,这促使我们将这种结构应用于传感器网络部署。在我们采用圆形阵列部署的传感器网络中,可以将互质线性阵列和嵌套线性阵列与圆形阵列结合使用。此外,为了以尽可能少的元素获得更好的到达方向(DoA)估计性能,将二维嵌套数组扩展到圆柱数组,并通过增强矩阵MUSIC方法,可以在该范围内使用多个源基于这样部署的传感器网络成功检测到。仿真结果表明,与基于等长均匀圆柱阵列的传感器网络相比,新提出的基于稀疏圆柱阵列的传感器网络不仅可以减少传感器的数量,而且可以提高分辨率。

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